Marlena Reil is a student of Cognitive Science at the University of Osnabrück. Her interest is in applications of Machine Learning to Earth Observational studies in order to understand and tackle climate change.
Nov 02, 2023
Deep Learning for the Detection of Melt Ponds on Arctic Sea Ice
When temperatures in the Arctic rise in summer, sea ice and snow melt, creating pools of water called ‘melt ponds’. These are monitored using helicopter and satellite imagery to predict sea ice melt and understand the mechanisms that amplify Arctic warming. In this Special Input, Marlena Reil shows how deep learning models can vastly improve the accuracy of climate change predictions in the Arctic.
Published as part of the Berlin Science Week program